---
title: "UK Biobank: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 124 archived papers mentioned UK Biobank in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Mar 2024 (8)."
url: https://scholar4ai.com/datasets/uk-biobank
markdown_url: https://scholar4ai.com/datasets/uk-biobank.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 124 archived papers mentioned UK Biobank in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Mar 2024 (8). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# UK Biobank

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/6.md)

Clinical records, medical images and physiological signals used in medical machine learning.

- data category: Medical and clinical datasets
- 0 papers in the last 7 days
- Names searched for: UK Biobank

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Medical and clinical datasets datasets: https://scholar4ai.com/datasets/medical-and-clinical-datasets.md



## Key findings

- From Nov 2023 to Oct 2026, 124 archived papers mentioned UK Biobank in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Mar 2024 (8).
- UK Biobank was mentioned in 5 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #64 of the 246 datasets mentioned.
- By journal category: AI (2), Statistics (2) and Health Economics and Policy (1).
- Most of them appeared in Medical Image Analysis (1), Lifetime Data Analysis (1) and Artificial Intelligence Review (1).
- From 2017 to 2026 (so far), UK Biobank was mentioned in 162 papers in the tracked journals, most of them in AI (80), health economics and policy (47) and statistics (17).
- 43 of them were published in 2025, against 1 in 2017.
- Since 2023, the institutions with the most of these papers were University of Oxford (11), University College London (9) and Queen Mary University of London (6).
- The journals publishing most of them were Medical Image Analysis (13), Artificial Intelligence Review (12) and Social Science & Medicine (8).
- The most-cited of them is “Federated learning for medical image analysis: A survey” (Pattern Recognition, 2024), with 522 citations.
- Papers use UK Biobank most often with ImageNet (13), MIMIC (9) and MNIST / Fashion-MNIST (8); it has 14 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 44 | 39 | 41 | 124 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 1 | 0 | 2 | 2 | 4 | 6 | 4 | 26 | 21 | 14 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 1 | 0 | 1 | 3 | 4 | 9 | 9 | 9 | 11 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 5 | 5 | 4 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| All categories | 1 | 2 | 2 | 3 | 7 | 13 | 15 | 44 | 43 | 32 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Medical Image Analysis](https://scholar4ai.com/journals/medical-image-analysis.md) | 13 |
| 2 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 12 |
| 3 | [Social Science & Medicine](https://scholar4ai.com/journals/social-science-medicine.md) | 8 |
| 4 | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 8 |
| 5 | [SSM - Population Health](https://scholar4ai.com/journals/ssm-population-health.md) | 8 |
| 6 | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 7 |
| 7 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 6 |
| 8 | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 4 |
| 9 | [Artificial Intelligence in Medicine](https://scholar4ai.com/journals/artificial-intelligence-in-medicine.md) | 3 |
| 10 | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 3 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [University of Oxford](https://scholar4ai.com/institutions/university-of-oxford.md) | 11 |
| 2 | [University College London](https://scholar4ai.com/institutions/university-college-london.md) | 9 |
| 3 | [Queen Mary University of London](https://scholar4ai.com/institutions/queen-mary-university-of-london.md) | 6 |
| 4 | [Technical University of Munich](https://scholar4ai.com/institutions/technical-university-of-munich.md) | 6 |
| 5 | [University of Bristol](https://scholar4ai.com/institutions/university-of-bristol.md) | 6 |
| 6 | [University of Manchester](https://scholar4ai.com/institutions/university-of-manchester.md) | 6 |
| 7 | [Harvard University](https://scholar4ai.com/institutions/harvard-university.md) | 5 |
| 8 | [Huazhong University of Science and Technology](https://scholar4ai.com/institutions/huazhong-university-of-science-and-technology.md) | 5 |
| 9 | [Imperial College London](https://scholar4ai.com/institutions/imperial-college-london.md) | 5 |
| 10 | [King's College London](https://scholar4ai.com/institutions/king-s-college-london.md) | 4 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United Kingdom | 47 |
| 2 | United States | 40 |
| 3 | China | 20 |
| 4 | Germany | 18 |
| 5 | Italy | 10 |
| 6 | Australia | 8 |
| 7 | South Korea | 8 |
| 8 | Spain | 7 |
| 9 | Switzerland | 6 |
| 10 | Austria | 4 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | UK Biobank | 47 |
| 2 | body mass index | 8 |
| 3 | [deep learning](https://scholar4ai.com/keywords/deep-learning.md) | 7 |
| 4 | [educational attainment](https://scholar4ai.com/keywords/educational-attainment.md) | 7 |
| 5 | [older adults](https://scholar4ai.com/keywords/older-adults.md) | 6 |
| 6 | [quality-adjusted life years](https://scholar4ai.com/keywords/quality-adjusted-life-years.md) | 6 |
| 7 | Mendelian randomization | 5 |
| 8 | physical activity | 5 |
| 9 | sex differences | 5 |
| 10 | social isolation | 5 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 522 | 16.4 | [Federated learning for medical image analysis: A survey](https://doi.org/10.1016/j.patcog.2024.110424) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 2024-03-12 | Hao Guan, Pew‐Thian Yap, Andrea Bozoki et al. |
| 2 | 279 | 3.8 | [A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology](https://doi.org/10.1109/tpami.2020.3013679) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2020-09-04 | James R. Clough, Nick Byrne, İlkay Öksüz et al. |
| 3 | 186 | 7.8 | [Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications](https://doi.org/10.1007/s10462-024-11005-9) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-11-07 | Haseeb Javed, Shaker El–Sappagh, Tamer Abuhmed |
| 4 | 98 | 2.9 | [Deep Evidential Fusion with Uncertainty Quantification and Reliability Learning for Multimodal Medical Image Segmentation](https://doi.org/10.1016/j.inffus.2024.102648) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2024-01-01 | Ling Huang, Su Ruan, Pierre Decazes et al. |
| 5 | 70 | 2.6 | [A review of evaluation approaches for explainable AI with applications in cardiology](https://doi.org/10.1007/s10462-024-10852-w) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-08-09 | Ahmed M. Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra et al. |

## Used together with

Papers use UK Biobank most often with ImageNet (13), MIMIC (9) and MNIST / Fashion-MNIST (8); it has 14 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

*What papers use UK Biobank together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 13 | 1.6 |
| [MIMIC](https://scholar4ai.com/datasets/mimic.md) | Dataset | 9 | 7.9 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 8 | 2.1 |
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 7 | 3.6 |
| [ADNI](https://scholar4ai.com/datasets/adni.md) | Dataset | 6 | 7.2 |
| [BraTS](https://scholar4ai.com/datasets/brats.md) | Dataset | 5 | 5.4 |
| [PhysioNet / MIT-BIH](https://scholar4ai.com/datasets/physionet-mit-bih.md) | Dataset | 5 | 6.6 |
| [Chest X-ray (CheXpert, ChestX-ray14)](https://scholar4ai.com/datasets/chest-x-ray-chexpert-chestx-ray14.md) | Dataset | 4 | 12.3 |
| [Eurostat](https://scholar4ai.com/datasets/eurostat.md) | Dataset | 4 | 0.8 |
| [Facebook](https://scholar4ai.com/datasets/facebook.md) | Dataset | 3 | 0.3 |
| [Global Burden of Disease](https://scholar4ai.com/datasets/global-burden-of-disease.md) | Dataset | 3 | 1.7 |
| [MS COCO](https://scholar4ai.com/datasets/ms-coco.md) | Dataset | 3 | 0.9 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning UK Biobank in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-27 | [A latent ODE approach to full-cycle biventricular cardiac motion modeling from cine MRI](https://doi.org/10.1016/j.media.2026.104376) | [Medical Image Analysis](https://scholar4ai.com/journals/medical-image-analysis.md) | David Brüggemann, Ekaterina Krymova, Fırat Özdemir et al. | ETH Zurich; Swiss Data Science Center; École Polytechnique Fédérale de Lausanne; … |
| 2026-10-20 | [Dynamic risk assessment by landmark modeling of the restricted residual mean survival time](https://doi.org/10.1007/s10985-026-09731-z) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | Yuan Zhang, Douglas Earl Schaubel | University of Tennessee Health Science Center; University of Pennsylvania |
| 2026-10-17 | [Language modeling on tabular data: a survey of foundations, techniques and evolution](https://doi.org/10.1007/s10462-026-11726-z) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Yucheng Ruan, Xiang Lan, Jingying Ma et al. | National University of Singapore; Institute of Data Science |
| 2026-10-15 | [A novel multi-exposure-to-multi-mediator mediation model for imaging genetics studies of brain disorders](https://doi.org/10.1016/j.csda.2026.108482) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Neng Wang, ERIC V. SLUD, Tianzhou Ma | University of Maryland, College Park |
| 2026-10-09 | [Cost-Effectiveness of Annual Atrial Fibrillation Screening Compared with Current Opportunistic Screening in Australian Primary Care: A Model-Based Economic Evaluation](https://doi.org/10.1007/s40258-026-01073-z) | [Applied Health Economics and Health Policy](https://scholar4ai.com/journals/applied-health-economics-and-health-policy.md) | Ureni Halahakone, Sameera Jayan Senanayake, Victoria McCreanor et al. | Queensland University of Technology; National University of Singapore; Duke-NUS Medical School; … |

## Cite this page

Scholar4AI. (2026). UK Biobank. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/uk-biobank

```bibtex
@misc{scholar4ai-datasets-uk-biobank,
  author = {{Scholar4AI}},
  title = {UK Biobank},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/uk-biobank}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).